Convergence through conflict: A case study of a US Spanish-language publication’s efforts to grow a national audience

2018 ◽  
Vol 9 (1) ◽  
pp. 13-27
Author(s):  
Andrea Hickerson
Keyword(s):  
Author(s):  
Elsa Huertas Barros ◽  
Míriam Buendía Castro

AbstractBased on a previous case study on common translation errors made by trainee translators when dealing with phraseological units in legal translation (Huertas Barros and Buendía Castro 2018, Analysing phraseological units in legal translation: Evaluation of translation errors for the English-Spanish language pair. In S. Gozdz Roszkowski & G. Pontrandolfo (eds.),


2019 ◽  
Vol 5 (4) ◽  
pp. 205630511989400
Author(s):  
José M. Tomasena

BookTubers (from the acronym book + YouTuber) have become key players for the publishing industry, given their influence on children and teens to promote reading and book consumption. Based on an 18-month digital ethnography that combines direct observation, digital interactions on YouTube channels, and other social media and semistructured interviews with 17 Spanish-speaking BookTubers, this study uses Pierre Bourdieu’s concepts of field and capital to analyze how BookTubers negotiate their practices with other agents of the publishing world. This article characterizes the challenges the Spanish-language publishing industry is facing in the context of digitalization to attract readers; describes the position that BookTubers have within the YouTube ecosystem, and how they relate with the platform’s actors, politics, and affordances; and analyzes the exchanges that BookTubers establish with publishers—often referred as collaborations—and their implications for their autonomy. This case study helps to understand how platformization allows new agents to transfer capital gained in social media to other cultural industries.


2019 ◽  
Vol 162 ◽  
pp. 849-856 ◽  
Author(s):  
Alejandro Ramón Hernández ◽  
María Matilde García Lorenzo ◽  
Alfredo Simón-Cuevas ◽  
Leticia Arco ◽  
Jesús Serrano-Guerrero

Author(s):  
Elena Dolzhich ◽  
Svetlana Dmitrichenkova ◽  
Yoandry Sanchez Pozuelo

Author(s):  
Dorian Ruiz Alonso ◽  
Claudia Zepeda Cortés ◽  
Hilda Castillo Zacatelco ◽  
José Luis Carballido Carranza ◽  
José Luis Garcé-a Cué

This work deals with educational text mining, a field of natural language processing applied to education. The objective is to classify the feedback generated by teachers in online courses to the activities sent by students according to the model of Hattie and Timperley (2007), considering that feedback may be at the levels task, process, regulation, praise and other. Four multi-label classification methods of the data transformation approach - binary relevance, classification chains, power labelset and rakel-d - are compared with the base algorithms SVM, Random Forest, Logistic Regression and Naive Bayes. The methodology was applied to a case study in which 11013 feedbacks written in Spanish language from 121 online courses of the Law degree from a public university in Mexico were collected from the Blackboard learning manager system. The results show that the random forests algorithms and vector support machines will have the best performance when using the binary relevance transformation and classifier chains methods.


2020 ◽  
pp. 738-756
Author(s):  
Jason D. Hendryx

This chapter reports a case study with survey data collected from one residency Spanish language teacher completing the final phase of a modern languages education program as well as two current in-service Spanish language teachers who completed the same program the year previously. Specifically, the study examined 1) what the three teachers recall of an overarching framework for embracing technology they were introduced to in their methods course, 2) what technologies they currently employ for language instruction and why, and 3) what characteristics they imagine the model modern language educator of the future will require. Findings revealed that these teachers did not recall in detail the overarching system for embracing technology introduced to them, they utilized a very broad range of technologies for teaching which would prove difficult to train them all in effectively during a methods course, and they saw flexible, engaging, patient, and content-prepared professionals as the future of the profession.


Author(s):  
Marcos Orellana ◽  
Andrea Trujillo ◽  
Juan-Fernando Lima ◽  
María-Inés Acosta ◽  
Mario Peña

Author(s):  
Elena Dolzhich ◽  
Svetlana Dmitrichenkova
Keyword(s):  

Author(s):  
Juan Piñón

The Latin American telenovela genre has enjoyed a long-lasting hegemonic position in prime-time television across the region, and particularly within US Spanish-language television market. However, in the last several years, Spanish-language national television networks, as well as their prime-time telenovela product, are being challenged by the new digital and mobile media landscape. Television networks have deployed a variety of strategies to better accommodate to new audiences’ consumption routines in a digital age. This article focuses on a particular moment of disruption – and continuity –, which has been a game changer for US Hispanic television and has transformed the face of fictional serial (telenovelas) in prime time. The surge in popularity of a telenovela subgenre originating in Colombia and widely adopted by US television corporations, known as narconovela, has transformed the telenovela genre/format, prompting industry professionals to initiate new institutional discourses aimed to mark these texts as super series, and in doing so labelling them as a new type of genre. Super series are an excellent case study for understanding the dialectic notion of disruption and continuity both in television studies and the television industry.


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